October 8, 2025 — Vancouver, BC: October 8, 2025 – Uniserve Communications Corporation (“Uniserve” or the “Company”) (TSXV: USS), a provider of managed IT, cloud, and data centre services, has entered into a Memorandum of Understanding (MOU) with Railtown AI Technologies Inc. (“Railtown”), a developer of AI Agentic Frameworks and Observability tools. The partnership aims to develop and deliver scalable AI solutions tailored for small and medium-sized enterprises (SMEs).

Partnership Overview
The partnership combines Uniserve’s infrastructure in three core service areas: Data Centre infrastructure and services, ISP infrastructure and services, and Managed IT Services, supporting approximately 3,000 SME customers. The introduction of Railtown’s AI tools into the Uniserve ecosystem enables our customers with the capability to articulate and actualize a modernization strategy while being able to address the rising demand for cost effective AI solutions.

Representing over 90% of Canadian businesses, SMEs present a significant market opportunity, and this collaboration aims to deliver practical AI applications, such as workflow automation and predictive analytics, to enhance efficiency and competitiveness for these businesses.

By combining Railtown’s Agentic frameworks and Observability tools with Uniserve’s established SME client base and national infrastructure, the partnership is positioned to deliver practical and rapidly deployable AI solutions at scale.

The Company plans to leverage its established relationships and infrastructure to develop and host AI applications, GPUs, and customized cloud solutions for its clients and partners. This will lead to new revenue streams for Uniserve and allow us to serve the current customer base as well as continue strong revenue growth by adding customers in this area of support and service.

Additionally, Uniserve intends to implement agentic AI applications internally to improve operational efficiencies, particularly in its managed service provider (MSP) help desk operations, with the goal of enhancing margins and workflows. These applications may be refined for broader market distribution, potentially creating additional revenue streams.